MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611111909 A) filed by Krishna Institute Of Engineering & Technology Kiet on September 17, 2026, for Machine Learning System For Crop Recommendation And Yield Prediction Using Soil And Environmental Parameters.
Inventors include Dr. Manoranjan Kumar; Atul Kumar Maurya; Aditi Mishra; Anushka Samanth; Adarsh Raj; and Dr. Manish Rai.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: Disclosed is a processor-executed system and method for crop recommendation and yield prediction. An input interface receives soil and environmental parameters comprising nitrogen, phosphorus, potassium, soil pH, temperature, humidity and rainfall. A weather data ingestion module retrieves current weather data from an external source and populates one or more of said parameters. A preprocessing module common to both prediction paths generates a first feature vector for crop classification and a second feature vector, comprising rainfall, location, crop and season, for yield prediction. A crop classification module and a yield prediction module, each comprising at least one trained machine learning model, generate a recommended crop and a predicted yield value respectively. A visualization module concurrently renders the recommended crop, a bar chart of the soil nutrient parameters and a line chart of the environmental parameters, enabling plot-specific cultivation decisions without specialized field hardware.
Disclaimer: Curated by HT Syndication.
